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Get Started with skforecast

Python library for time series forecasting with machine learning models.

Getting Started

1

Read the official documentation

The skforecast team maintains comprehensive docs that cover installation, configuration, and common patterns.

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2

Create an account

skforecast offers a free tier — sign up to get started without any payment.

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3

Review strengths, tradeoffs, and alternatives

Our full tool profile covers skforecast's strengths, weaknesses, pricing, and how it compares to alternatives.

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Best For

Data scientists who need to integrate machine learning models into their time series forecasting workflows.

Developers working on projects that require accurate predictions based on historical data.

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